Scientific Graphical Abstract Generator
AI-Powered Scientific Visualization Tool - Generate editable graphical abstracts for research papers
Description
Generate professional graphical abstracts for scientific papers using multiple AI models. This skill transforms research descriptions and data into publication-quality, editable SVG visualizations.
Features
- Multiple AI Models: Support for Claude, GPT-4o, DeepSeek, and other multimodal models
- Editable SVG Output: Generate vector graphics that can be edited in Inkscape, Illustrator, or any SVG editor
- Multiple Chart Types: Bar charts, line charts, pie charts, scatter plots, flowcharts, diagrams
- Data-Driven Visuals: Automatically create charts from CSV/JSON data
- Customizable Styles: Adjust colors, fonts, layouts to match journal requirements
- Publication Ready: High-quality output suitable for scientific journals
Usage
/graphical-abstract Generate a graphical abstract showing the research workflow for a CRISPR gene editing study
/graphical-abstract Create a bar chart comparing the performance of three different machine learning models from this data: [data]
/graphical-abstract Design a flowchart illustrating the mechanism of action of the proposed drug
/graphical-abstract Generate a line chart showing temperature changes over time from the following CSV data
Examples
Generate Research Workflow Diagram
/graphical-abstract Create a graphical abstract showing the workflow: Sample preparation → RNA extraction → Sequencing → Data analysis → Results visualization. Use a clean, professional style with blue color scheme.
Create Data Visualization
/graphical-abstract Generate a bar chart with the following data:
Model A: 85% accuracy
Model B: 92% accuracy
Model C: 78% accuracy
Title: Model Performance Comparison
Y-axis: Accuracy (%)
Color scheme: Professional blue gradient
Generate Mechanism Diagram
/graphical-abstract Design a schematic diagram showing how the proposed inhibitor binds to the active site of the enzyme, blocking substrate access. Include labels for key components.
Command Reference
generate
Generate a graphical abstract.
| Option |
Description |
--prompt |
Description of what to visualize |
--data |
Data file (CSV/JSON) for charts |
--type |
Chart type: bar, line, pie, scatter, flowchart, diagram |
--model |
AI model: claude, gpt4o, deepseek (default: claude) |
--style |
Style: minimal, professional, colorful, journal |
--output |
Output SVG file path |
--width |
Canvas width (default: 800) |
--height |
Canvas height (default: 600) |
template
Use predefined templates for common visualizations.
| Option |
Description |
--type |
Template type: workflow, mechanism, comparison, timeline |
--prompt |
Specific requirements |
Supported Models
Claude (Recommended)
- Best for: Complex diagrams, scientific illustrations
- Vision capabilities: Excellent
- API: Anthropic Claude API
GPT-4o
- Best for: Charts, data visualization
- Vision capabilities: Very good
- API: OpenAI API
DeepSeek
- Best for: Technical diagrams, cost-effective
- Vision capabilities: Good
- API: DeepSeek API
Output Format
All outputs are in SVG format which offers:
- Editable: Open in Inkscape, Adobe Illustrator, or any text editor
- Scalable: Infinite resolution without quality loss
- Web-ready: Can be embedded directly in websites
- Publication quality: Meets most journal requirements
Example SVG structure:
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 800 600">
<!-- Editable elements with clear structure -->
<g id="chart-area">...</g>
<g id="labels">...</g>
<g id="legend">...</g>
</svg>
Notes
- For complex visualizations, provide detailed descriptions
- Data files should be in CSV or JSON format
- SVG files can be edited after generation
- Different models may produce different styles
- Journal-specific requirements can be specified in the prompt
Related Skills
1---2name: scientific-graphical-abstract-generator3description: Generate professional graphical abstracts for scientific papers using multiple AI models. This skill transforms research descriptions and data into publication-quality, editable SVG visualizations.4---5
6# Scientific Graphical Abstract Generator
7
8> **AI-Powered Scientific Visualization Tool** - Generate editable graphical abstracts for research papers
9
10## Description
11
12Generate professional graphical abstracts for scientific papers using multiple AI models. This skill transforms research descriptions and data into publication-quality, editable SVG visualizations.
13
14## Features
15
16- **Multiple AI Models**: Support for Claude, GPT-4o, DeepSeek, and other multimodal models
17- **Editable SVG Output**: Generate vector graphics that can be edited in Inkscape, Illustrator, or any SVG editor
18- **Multiple Chart Types**: Bar charts, line charts, pie charts, scatter plots, flowcharts, diagrams
19- **Data-Driven Visuals**: Automatically create charts from CSV/JSON data
20- **Customizable Styles**: Adjust colors, fonts, layouts to match journal requirements
21- **Publication Ready**: High-quality output suitable for scientific journals
22
23## Usage
24
25```
26/graphical-abstract Generate a graphical abstract showing the research workflow for a CRISPR gene editing study
27/graphical-abstract Create a bar chart comparing the performance of three different machine learning models from this data: [data]
28/graphical-abstract Design a flowchart illustrating the mechanism of action of the proposed drug
29/graphical-abstract Generate a line chart showing temperature changes over time from the following CSV data
30```
31
32## Examples
33
34### Generate Research Workflow Diagram
35
36```
37/graphical-abstract Create a graphical abstract showing the workflow: Sample preparation → RNA extraction → Sequencing → Data analysis → Results visualization. Use a clean, professional style with blue color scheme.
38```
39
40### Create Data Visualization
41
42```
43/graphical-abstract Generate a bar chart with the following data:
44Model A: 85% accuracy
45Model B: 92% accuracy
46Model C: 78% accuracy
47
48Title: Model Performance Comparison
49Y-axis: Accuracy (%)
50Color scheme: Professional blue gradient
51```
52
53### Generate Mechanism Diagram
54
55```
56/graphical-abstract Design a schematic diagram showing how the proposed inhibitor binds to the active site of the enzyme, blocking substrate access. Include labels for key components.
57```
58
59## Command Reference
60
61### generate
62
63Generate a graphical abstract.
64
65| Option | Description |
66|--------|-------------|
67| `--prompt` | Description of what to visualize |
68| `--data` | Data file (CSV/JSON) for charts |
69| `--type` | Chart type: bar, line, pie, scatter, flowchart, diagram |
70| `--model` | AI model: claude, gpt4o, deepseek (default: claude) |
71| `--style` | Style: minimal, professional, colorful, journal |
72| `--output` | Output SVG file path |
73| `--width` | Canvas width (default: 800) |
74| `--height` | Canvas height (default: 600) |
75
76### template
77
78Use predefined templates for common visualizations.
79
80| Option | Description |
81|--------|-------------|
82| `--type` | Template type: workflow, mechanism, comparison, timeline |
83| `--prompt` | Specific requirements |
84
85## Supported Models
86
87### Claude (Recommended)
88- Best for: Complex diagrams, scientific illustrations
89- Vision capabilities: Excellent
90- API: Anthropic Claude API
91
92### GPT-4o
93- Best for: Charts, data visualization
94- Vision capabilities: Very good
95- API: OpenAI API
96
97### DeepSeek
98- Best for: Technical diagrams, cost-effective
99- Vision capabilities: Good
100- API: DeepSeek API
101
102## Output Format
103
104All outputs are in **SVG format** which offers:
105- **Editable**: Open in Inkscape, Adobe Illustrator, or any text editor
106- **Scalable**: Infinite resolution without quality loss
107- **Web-ready**: Can be embedded directly in websites
108- **Publication quality**: Meets most journal requirements
109
110Example SVG structure:
111```xml
112<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 800 600">
113 <!-- Editable elements with clear structure -->
114 <g id="chart-area">...</g>
115 <g id="labels">...</g>
116 <g id="legend">...</g>
117</svg>
118```
119
120## Notes
121
122- For complex visualizations, provide detailed descriptions
123- Data files should be in CSV or JSON format
124- SVG files can be edited after generation
125- Different models may produce different styles
126- Journal-specific requirements can be specified in the prompt
127
128## Related Skills
129
130- [sci-data-extractor](../sci-data-extractor/) - Extract data from scientific papers
131- [semanticscholar-search-skill](../semanticscholar-search-skill/) - Search academic papers
132- [pubmed-search-skill](../pubmed-search-skill/) - Search biomedical literature
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